I'm looking to compare 2 different NN architectures, namely radial basis function and feed forward (or plain multilayer perceptron), in its ability to distinguish cheaters on a memory test. A textbook with code examples would be useful to me.

I've visited Jeff Heaton's website. My fear is that his text is written completely around his JOONE framework. BUT, you gave me a good idea. I think I'll ask my local Barnes and Noble if they can order the book for me so I can look through it, prior to purchase.